Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based model

Objective: Congenital hypothyroidism (CH) is an inborn thyroid hormone (TH) deficiency mostly caused by thyroidal (primary CH) or hypothalamic/pituitary (central CH) disturbances. Most CH newborn screening (NBS) programs are thyroid-stimulating-hormone (TSH) based, thereby only detecting primary CH. The Dutch NBS is based on measuring total thyroxine (T4) from dried blood spots, aiming to detect primary and central CH at the cost of more false-positive referrals (FPRs) (positive predictive value (PPV) of 21% in 2007–2017). An artificial PPV of 26% was yielded when using a machine learning-base... Mehr ...

Verfasser: Heleen I Jansen
Marije van Haeringen
Marelle J Bouva
Wendy P J den Elzen
Eveline Bruinstroop
Catharina P B van der Ploeg
A S Paul van Trotsenburg
Nitash Zwaveling-Soonawala
Annemieke C Heijboer
Annet M Bosch
Robert de Jonge
Mark Hoogendoorn
Anita Boelen
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: European Thyroid Journal, Vol 12, Iss 6, Pp 1-10 (2023)
Verlag/Hrsg.: Bioscientifica
Schlagwörter: congenital hypothyroidism / newborn screening / amino acids / acylcarnitines / machine learning based / Diseases of the endocrine glands. Clinical endocrinology / RC648-665
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26630749
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1530/ETJ-23-0141